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pro vyhledávání: '"Lu, Bao"'
While electroencephalogram (EEG) based brain-computer interface (BCI) has been widely used for medical diagnosis, health care, and device control, the safety of EEG BCI has long been neglected. In this paper, we propose Professor X, an invisible and
Externí odkaz:
http://arxiv.org/abs/2409.20158
Recent advancements for large-scale pre-training with neural signals such as electroencephalogram (EEG) have shown promising results, significantly boosting the development of brain-computer interfaces (BCIs) and healthcare. However, these pre-traine
Externí odkaz:
http://arxiv.org/abs/2409.00101
Retrosynthesis analysis is pivotal yet challenging in drug discovery and organic chemistry. Despite the proliferation of computational tools over the past decade, AI-based systems often fall short in generalizing across diverse reaction types and exp
Externí odkaz:
http://arxiv.org/abs/2408.10285
With the rapid advancement in machine learning, the recognition and analysis of brain activity based on EEG and eye movement signals have attained a high level of sophistication. Utilizing deep learning models for learning EEG and eye movement featur
Externí odkaz:
http://arxiv.org/abs/2407.09508
Publikováno v:
The Twelfth International Conference on Learning Representations, 2024
The current electroencephalogram (EEG) based deep learning models are typically designed for specific datasets and applications in brain-computer interaction (BCI), limiting the scale of the models and thus diminishing their perceptual capabilities a
Externí odkaz:
http://arxiv.org/abs/2405.18765
Autor:
Lan, Yu-Ting, Ren, Kan, Wang, Yansen, Zheng, Wei-Long, Li, Dongsheng, Lu, Bao-Liang, Qiu, Lili
Seeing is believing, however, the underlying mechanism of how human visual perceptions are intertwined with our cognitions is still a mystery. Thanks to the recent advances in both neuroscience and artificial intelligence, we have been able to record
Externí odkaz:
http://arxiv.org/abs/2308.02510
Publikováno v:
In Construction and Building Materials 13 September 2024 443